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NeGD AI/ML Lead Recruitment 2026 – Apply Online (4 Posts)
Official Source
Quick answer
Digital India Corporation has released the NeGD AI/ML Lead Recruitment 2026 – Apply Online (4 Posts) notification for 4 posts. The last date to apply is 13 November 2026. Apply only through the official website linked below.
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Important details
| Name of post | NeGD AI/ML Lead Recruitment 2026 – Apply Online (4 Posts) |
|---|---|
| Organisation | Digital India Corporation |
| Job location | All India |
| Total vacancies | 4 posts |
| Last date to apply | 13 November 2026 |
| Posted on | 28 Oct 2026 |
| Last updated | 28 Oct 2026 |
Read from the official notice. Always confirm dates, fees and eligibility on the official website.
Important Dates
- Last date to apply13 November 2026
Total Post
4 Posts
NeGD Recruitment 2026 at a Glance
| Particulars | Details |
|---|---|
| Organisation | National e-Governance Division (NeGD) |
| Post Name | AI/ML Lead |
| Total Vacancies | 04 |
| Job Location | Delhi |
| Application Mode | The notice does not give the submission mode |
| Last Date to Apply | 13th November 2026 |
- The official notification does not specify the age limit, application fee, or pay scale details.
About NeGD Recruitment 2026
- The National e-Governance Division operates under the Digital India Corporation, Ministry of Electronics and Information Technology, supporting MeitY in programme management and implementation of e-Governance projects. This recruitment aims to fill AI/ML Lead positions initially for a period of three years, with possible extensions based on project requirements.
Vacancy Details
- There are a total of 04 positions available for the AI/ML Lead role on a contractual basis.
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Who Can Apply
- The official notification does not specify the minimum educational qualification or age limit requirements for the AI/ML Lead position.
NeGD Recruitment 2026 Job Description
- Own the technical roadmap of the team’s reusable services, choosing between prompting, retrieval, fine-tuning and smaller specialised models on accuracy, cost, latency and data governance grounds, and documenting the rationale.
- Lead in-house engineers and data scientists, review their work, and remain hands-on in code, training and debugging.
- NLP & Document AI: OCR, layout analysis and parsing for scanned, handwritten and mixed script documents; extraction, classification, PII redaction, summarisation, similarity and deduplication; retrieval-augmented question answering over rules, circulars and case files, with citations and grounding checks.
- Computer Vision: face detection, 1:1 verification, 1:N search, liveness and presentation-attack detection at large scale; tamper, forgery and photo-substitution detection for identity documents and certificates; field-photo and satellite imagery analytics; deployment on server, mobile and edge.
- Agentic AI: agents for planning, tool use, memory and multi-agent coordination using LangGraph or equivalent and the Model Context Protocol (MCP); least-privilege tool permissions, human approval for every consequential action, audit trails and rollback; reusable agent templates for drafting, document scrutiny and request routing.
- Evaluation & Safety: Build golden datasets and specialisation-appropriate metrics with the QA Lead, set release thresholds, and run subgroup analysis across languages, document types, demographics or acoustic conditions; test services for prompt injection, presentation attacks, adversarial inputs and leakage of personal data before release with the AI Safety team.
- Deployment & Reuse: Deploy services through the AI platform and gateway, publish them to the service catalogue with documentation and SLAs, and contribute models and evaluation sets to AIKosh Vendor Oversight; review designs, code and evaluation evidence of vendor teams, and recommend acceptance or rejection of deliverables.
- Responsible AI & Privacy: Apply anonymisation, data minimisation and DPDPA 2023 requirements, with stricter handling for biometric data in Computer Vision, and document models through model cards and evaluation records.
- The selected AI/ML Lead candidates will handle technical leadership and specialisation responsibilities across multiple domains:
How to Apply for NeGD Recruitment 2026
- The notice does not give the submission mode.
Important Links
| Official Notification PDF | Download dic.gov.in |
|---|---|
| Link | Details |
| Official Notification PDF | Detailed Notification |
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Frequently asked questions
What is the last date to apply for NeGD AI/ML Lead Recruitment 2026?
The last date to apply is 13 November 2026.
How many vacancies are there in NeGD AI/ML Lead Recruitment 2026?
There are 4 posts in total.